text: /**
   * Copyright 2020 Huawei Technologies Co., Ltd
   *
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   * http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  #ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_CROP_OP_H_
  #define MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_CROP_OP_H_
  
  #include <memory>
  #include <vector>
  #include <string>
  
  #include "minddata/dataset/core/tensor.h"
  #include "minddata/dataset/kernels/image/image_utils.h"
  #include "minddata/dataset/kernels/tensor_op.h"
  #include "minddata/dataset/util/status.h"
  
  namespace mindspore {
  namespace dataset {
  class CropOp : public TensorOp {
   public:
    /// \brief Constructor to Crop Op
    /// \param[in] x - the horizontal starting coordinate
    /// \param[in] y - the vertical starting coordinate
    /// \param[in] height - the height of the crop box
    /// \param[in] width - the width of the crop box
    explicit CropOp(int32_t x, int32_t y, int32_t height, int32_t width) : x_(x), y_(y), height_(height), width_(width) {}
  
    CropOp(const CropOp &rhs) = default;
  
    CropOp(CropOp &&rhs) = default;
  
    ~CropOp() override = default;
  
    void Print(std::ostream &out) const override {
      out << "CropOp x: " << x_ << " y: " << y_ << " w: " << width_ << " h: " << height_;
    }
  
    Status Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) override;
    Status OutputShape(const std::vector<TensorShape> &inputs, std::vector<TensorShape> &outputs) override;
  
    std::string Name() const override { return kCropOp; }
  
   protected:
    int32_t x_;
    int32_t y_;
    int32_t height_;
    int32_t width_;
  };
  }  // namespace dataset
  }  // namespace mindspore
  
  #endif  // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_CROP_OP_H_
  